EdgeLV

파산 확률 계산기

Sit down with a bankroll — what is the chance you bust before you walk away? Ten thousand Monte Carlo runs at the real payouts and commission.

Flat betting, no progression
≈ 60 per shoe
파산 확률

Calculating…

종료 시 수익 중일 확률
최종 자금 중앙값
최종 자금 평균
기대 손실(이론값)
Distribution of ending bankrolls across ten thousand runs. The dashed line is your starting bankroll — anything left of it is a loss.
Loss (below start) Profit (above start)
표로 보기
Ending rangeRunsShare

Method

Where these numbers come from

Real payouts, hand by hand

Banker: wins 45.86% paying 0.95 (after the 5% commission), loses 44.62%, ties 9.52% and pushes. Player: wins 44.62% paying 1.00, loses 45.86%, ties push.

Why simulate instead of using a formula

The classic gambler’s-ruin formula assumes every result is ±1 unit. Banker pays only 0.95 and ties push, so the payouts are asymmetric and the formula gives the wrong answer. Simulation handles it exactly.

What counts as ruin

Not being able to place another bet. That is closer to reality than "bankroll hits zero": with 200 left and a 500 unit, you are already done.

Results move slightly

Ten thousand runs carry roughly ±0.5 percentage points of sampling error, so each run differs a little. That is inherent to the method, not a bug.